基于信道负载预测的VANET传输功率控制算法
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  • 英文篇名:Transmission power control algorithm based on channel load forecasting in VANET
  • 作者:余翔 ; 唐金华 ; 王诗言
  • 英文作者:Yu Xiang;Tang Jinhua;Wang Shiyan;Ubiquitous Wireless Communication Technology Team,Chongqing University of Posts & Telecommunications;
  • 关键词:车载自组网 ; 信道拥塞 ; 负载预测 ; 功率控制
  • 英文关键词:VANET;;channel congestion;;load forecasting;;power control
  • 中文刊名:JSYJ
  • 英文刊名:Application Research of Computers
  • 机构:重庆邮电大学泛网无线通信技术团队;
  • 出版日期:2018-02-08 17:16
  • 出版单位:计算机应用研究
  • 年:2019
  • 期:v.36;No.327
  • 基金:国家科技重大专项资助项目(2015ZX03004004)
  • 语种:中文;
  • 页:JSYJ201901042
  • 页数:4
  • CN:01
  • ISSN:51-1196/TP
  • 分类号:189-191+208
摘要
在车载自组网(VANET)中,车流量到达一定密度时会造成信道拥塞,导致协作式安全应用失效。针对该问题,设计了一个基于信道负载预测的车联网信标消息传输功率控制算法。通过信道忙时比率(CBR)评估当前时刻信道负载,根据差分自回归移动平均模型(ARIMA)对信道下一时刻负载进行预测,将信道负载预测值与预设阈值进行比较,自适应调整下一时刻信标传输功率,避免信道拥塞。通过仿真实验表明,该算法能有效减少通信传输时延,避免信道拥塞,保证数据的可靠转发。
        In VANET,when traffic flow reaches a certain density will cause the channel congestion,thus causing inefficiency of cooperative security applications. Aiming at this issue,this paper designed a beacon message transmission power control algorithm based on channel load forecasting. First of all,it evaluated the current time channel load by channel busy time ratio( CBR). Secondly,it predicted the next time channel load by the autoregressive integrated moving average model( ARIMA).Finally,it compared the value of channel load forecasting with the preset threshold,and adaptived adjustment of the next moment transmission power to avoid channel congestion. The simulation experiment shows that the algorithm can effectively reduce the communication transmission delay and avoid channel congestion,ensuring that the data be sent reliably.
引文
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